UK National Lottery Profiling Report

Brought to you by YData

Dataset statistics

Number of variables	16
Number of observations	3095
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.0 MiB
Average record size in memory	347.0 B

Variable types

Numeric	12
Categorical	4

Alerts

`Jackpot` is highly overall correlated with `Wins`	High correlation
`No.` is highly overall correlated with `Wins` and 1 other fields	High correlation
`Wins` is highly overall correlated with `Jackpot` and 2 other fields	High correlation
`YYYY` is highly overall correlated with `No.` and 1 other fields	High correlation
`Day` is highly imbalanced (56.3%)	Imbalance
`Wins` is highly skewed (γ1 = 20.05977864)	Skewed
`No.` is uniformly distributed	Uniform
`No.` has unique values	Unique
`Wins` has 1335 (43.1%) zeros	Zeros

Reproduction

Analysis started	2025-08-29 18:34:53.654867
Analysis finished	2025-08-29 18:35:06.653376
Duration	13 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

No.
Real number (ℝ)

High correlation Uniform Unique

Distinct	3095
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1548

Minimum	1
Maximum	3095
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.3 KiB

Quantile statistics

Minimum	1
5-th percentile	155.7
Q1	774.5
median	1548
Q3	2321.5
95-th percentile	2940.3
Maximum	3095
Range	3094
Interquartile range (IQR)	1547

Descriptive statistics

Standard deviation	893.59387
Coefficient of variation (CV)	0.57725702
Kurtosis	-1.2
Mean	1548
Median Absolute Deviation (MAD)	774
Skewness	0
Sum	4791060
Variance	798510
Monotonicity	Strictly decreasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3095	1	< 0.1%
1063	1	< 0.1%
1037	1	< 0.1%
1036	1	< 0.1%
1035	1	< 0.1%
1034	1	< 0.1%
1033	1	< 0.1%
1032	1	< 0.1%
1031	1	< 0.1%
1030	1	< 0.1%
Other values (3085)	3085	99.7%

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
3095	1	< 0.1%
3094	1	< 0.1%
3093	1	< 0.1%
3092	1	< 0.1%
3091	1	< 0.1%
3090	1	< 0.1%
3089	1	< 0.1%
3088	1	< 0.1%
3087	1	< 0.1%
3086	1	< 0.1%

Day
Categorical

Imbalance

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	184.5 KiB

Sat	1602
Wed	1489
Fri	2
Tue	1
Sun	1

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	12380
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	Wed
2nd row	Sat
3rd row	Wed
4th row	Sat
5th row	Wed

Common Values

Value	Count	Frequency (%)
Sat	1602	51.8%
Wed	1489	48.1%
Fri	2	0.1%
Tue	1	< 0.1%
Sun	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sat	1602	51.8%
wed	1489	48.1%
fri	2	0.1%
tue	1	< 0.1%
sun	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
	3095	25.0%
S	1603	12.9%
a	1602	12.9%
t	1602	12.9%
e	1490	12.0%
W	1489	12.0%
d	1489	12.0%
F	2	< 0.1%
r	2	< 0.1%
i	2	< 0.1%
Other values (3)	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12380	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	3095	25.0%
S	1603	12.9%
a	1602	12.9%
t	1602	12.9%
e	1490	12.0%
W	1489	12.0%
d	1489	12.0%
F	2	< 0.1%
r	2	< 0.1%
i	2	< 0.1%
Other values (3)	4	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12380	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	3095	25.0%
S	1603	12.9%
a	1602	12.9%
t	1602	12.9%
e	1490	12.0%
W	1489	12.0%
d	1489	12.0%
F	2	< 0.1%
r	2	< 0.1%
i	2	< 0.1%
Other values (3)	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12380	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	3095	25.0%
S	1603	12.9%
a	1602	12.9%
t	1602	12.9%
e	1490	12.0%
W	1489	12.0%
d	1489	12.0%
F	2	< 0.1%
r	2	< 0.1%
i	2	< 0.1%
Other values (3)	4	< 0.1%

DD
Real number (ℝ)

Distinct	31
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.723425

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.3 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.797243
Coefficient of variation (CV)	0.55949916
Kurtosis	-1.1926972
Mean	15.723425
Median Absolute Deviation (MAD)	8
Skewness	0.0073736924
Sum	48664
Variance	77.391484
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
24	104	3.4%
9	103	3.3%
7	103	3.3%
2	103	3.3%
26	103	3.3%
19	103	3.3%
16	103	3.3%
28	102	3.3%
4	102	3.3%
11	102	3.3%
Other values (21)	2067	66.8%

Value	Count	Frequency (%)
1	101	3.3%
2	103	3.3%
3	101	3.3%
4	102	3.3%
5	102	3.3%
6	100	3.2%
7	103	3.3%
8	101	3.3%
9	103	3.3%
10	101	3.3%

Value	Count	Frequency (%)
31	59	1.9%
30	94	3.0%
29	94	3.0%
28	102	3.3%
27	100	3.2%
26	103	3.3%
25	99	3.2%
24	104	3.4%
23	102	3.3%
22	101	3.3%

MMM
Categorical

Distinct	12
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	181.5 KiB

Jul	266
Mar	266
May	265
Aug	263
Dec	262
Other values (7)	1773

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	9285
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Aug
2nd row	Aug
3rd row	Aug
4th row	Aug
5th row	Aug

Common Values

Value	Count	Frequency (%)
Jul	266	8.6%
Mar	266	8.6%
May	265	8.6%
Aug	263	8.5%
Dec	262	8.5%
Jan	260	8.4%
Apr	258	8.3%
Jun	257	8.3%
Oct	256	8.3%
Nov	251	8.1%
Other values (2)	491	15.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
jul	266	8.6%
mar	266	8.6%
may	265	8.6%
aug	263	8.5%
dec	262	8.5%
jan	260	8.4%
apr	258	8.3%
jun	257	8.3%
oct	256	8.3%
nov	251	8.1%
Other values (2)	491	15.9%

Most occurring characters

Value	Count	Frequency (%)
a	791	8.5%
u	786	8.5%
J	783	8.4%
e	753	8.1%
M	531	5.7%
r	524	5.6%
A	521	5.6%
c	518	5.6%
n	517	5.6%
p	507	5.5%
Other values (12)	3054	32.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9285	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	791	8.5%
u	786	8.5%
J	783	8.4%
e	753	8.1%
M	531	5.7%
r	524	5.6%
A	521	5.6%
c	518	5.6%
n	517	5.6%
p	507	5.5%
Other values (12)	3054	32.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9285	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	791	8.5%
u	786	8.5%
J	783	8.4%
e	753	8.1%
M	531	5.7%
r	524	5.6%
A	521	5.6%
c	518	5.6%
n	517	5.6%
p	507	5.5%
Other values (12)	3054	32.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9285	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	791	8.5%
u	786	8.5%
J	783	8.4%
e	753	8.1%
M	531	5.7%
r	524	5.6%
A	521	5.6%
c	518	5.6%
n	517	5.6%
p	507	5.5%
Other values (12)	3054	32.9%

YYYY
Real number (ℝ)

High correlation

Distinct	32
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2010.2914

Minimum	1994
Maximum	2025
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.3 KiB

Quantile statistics

Minimum	1994
5-th percentile	1997
Q1	2003
median	2010
Q3	2018
95-th percentile	2024
Maximum	2025
Range	31
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.6037364
Coefficient of variation (CV)	0.0042798453
Kurtosis	-1.1774712
Mean	2010.2914
Median Absolute Deviation (MAD)	7
Skewness	-0.012877793
Sum	6221852
Variance	74.02428
Monotonicity	Decreasing

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
2011	105	3.4%
2022	105	3.4%
2000	105	3.4%
2020	105	3.4%
2003	105	3.4%
2016	105	3.4%
2014	105	3.4%
2005	105	3.4%
2008	105	3.4%
2024	104	3.4%
Other values (22)	2046	66.1%

Value	Count	Frequency (%)
1994	7	0.2%
1995	52	1.7%
1996	52	1.7%
1997	100	3.2%
1998	104	3.4%
1999	104	3.4%
2000	105	3.4%
2001	104	3.4%
2002	104	3.4%
2003	105	3.4%

Value	Count	Frequency (%)
2025	67	2.2%
2024	104	3.4%
2023	104	3.4%
2022	105	3.4%
2021	104	3.4%
2020	105	3.4%
2019	104	3.4%
2018	104	3.4%
2017	104	3.4%
2016	105	3.4%

N1
Real number (ℝ)

Distinct	59
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.728918

Minimum	1
Maximum	59
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.3 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	13
median	27
Q3	40
95-th percentile	51
Maximum	59
Range	58
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	15.334343
Coefficient of variation (CV)	0.57369861
Kurtosis	-1.062006
Mean	26.728918
Median Absolute Deviation (MAD)	13
Skewness	0.085275975
Sum	82726
Variance	235.14207
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
23	69	2.2%
35	69	2.2%
28	68	2.2%
48	67	2.2%
10	67	2.2%
44	67	2.2%
4	67	2.2%
33	67	2.2%
12	66	2.1%
25	65	2.1%
Other values (49)	2423	78.3%

Value	Count	Frequency (%)
1	61	2.0%
2	52	1.7%
3	62	2.0%
4	67	2.2%
5	51	1.6%
6	53	1.7%
7	56	1.8%
8	62	2.0%
9	61	2.0%
10	67	2.2%

Value	Count	Frequency (%)
59	19	0.6%
58	19	0.6%
57	19	0.6%
56	17	0.5%
55	17	0.5%
54	16	0.5%
53	17	0.5%
52	18	0.6%
51	17	0.5%
50	13	0.4%

N2
Real number (ℝ)

Distinct	59
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.087561

Minimum	1
Maximum	59
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.3 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	14
median	27
Q3	40
95-th percentile	51
Maximum	59
Range	58
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	15.52373
Coefficient of variation (CV)	0.57309442
Kurtosis	-1.0894958
Mean	27.087561
Median Absolute Deviation (MAD)	13
Skewness	0.051176175
Sum	83836
Variance	240.98619
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	73	2.4%
43	73	2.4%
37	70	2.3%
44	69	2.2%
15	67	2.2%
25	67	2.2%
49	66	2.1%
12	66	2.1%
11	66	2.1%
38	66	2.1%
Other values (49)	2412	77.9%

Value	Count	Frequency (%)
1	61	2.0%
2	64	2.1%
3	54	1.7%
4	62	2.0%
5	53	1.7%
6	60	1.9%
7	62	2.0%
8	61	2.0%
9	61	2.0%
10	44	1.4%

Value	Count	Frequency (%)
59	18	0.6%
58	22	0.7%
57	20	0.6%
56	18	0.6%
55	19	0.6%
54	20	0.6%
53	14	0.5%
52	22	0.7%
51	17	0.5%
50	21	0.7%

N3
Real number (ℝ)

Distinct	59
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.848142

Minimum	1
Maximum	59
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.3 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	13
median	27
Q3	39
95-th percentile	52
Maximum	59
Range	58
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	15.437999
Coefficient of variation (CV)	0.57501182
Kurtosis	-1.048022
Mean	26.848142
Median Absolute Deviation (MAD)	13
Skewness	0.090800226
Sum	83095
Variance	238.33181
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	76	2.5%
39	73	2.4%
17	72	2.3%
10	69	2.2%
40	68	2.2%
27	68	2.2%
11	67	2.2%
36	66	2.1%
18	66	2.1%
38	66	2.1%
Other values (49)	2404	77.7%

Value	Count	Frequency (%)
1	50	1.6%
2	60	1.9%
3	76	2.5%
4	52	1.7%
5	56	1.8%
6	57	1.8%
7	57	1.8%
8	58	1.9%
9	61	2.0%
10	69	2.2%

Value	Count	Frequency (%)
59	22	0.7%
58	25	0.8%
57	19	0.6%
56	22	0.7%
55	20	0.6%
54	21	0.7%
53	16	0.5%
52	20	0.6%
51	12	0.4%
50	10	0.3%

N4
Real number (ℝ)

Distinct	59
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.292084

Minimum	1
Maximum	59
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.3 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	14
median	28
Q3	40
95-th percentile	50
Maximum	59
Range	58
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	15.186792
Coefficient of variation (CV)	0.55645409
Kurtosis	-1.0830799
Mean	27.292084
Median Absolute Deviation (MAD)	13
Skewness	0.023706881
Sum	84469
Variance	230.63864
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39	72	2.3%
48	72	2.3%
19	70	2.3%
29	70	2.3%
11	70	2.3%
45	69	2.2%
20	69	2.2%
5	68	2.2%
35	67	2.2%
47	66	2.1%
Other values (49)	2402	77.6%

Value	Count	Frequency (%)
1	52	1.7%
2	51	1.6%
3	49	1.6%
4	51	1.6%
5	68	2.2%
6	59	1.9%
7	50	1.6%
8	59	1.9%
9	55	1.8%
10	54	1.7%

Value	Count	Frequency (%)
59	14	0.5%
58	20	0.6%
57	12	0.4%
56	13	0.4%
55	16	0.5%
54	20	0.6%
53	16	0.5%
52	20	0.6%
51	17	0.5%
50	20	0.6%

N5
Real number (ℝ)

Distinct	59
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.440065

Minimum	1
Maximum	59
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.3 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	13
median	27
Q3	39
95-th percentile	49.3
Maximum	59
Range	58
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	15.039343
Coefficient of variation (CV)	0.56880887
Kurtosis	-1.0374635
Mean	26.440065
Median Absolute Deviation (MAD)	12
Skewness	0.079602516
Sum	81832
Variance	226.18185
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39	79	2.6%
31	76	2.5%
23	73	2.4%
34	73	2.4%
36	71	2.3%
28	71	2.3%
30	70	2.3%
33	69	2.2%
27	69	2.2%
47	69	2.2%
Other values (49)	2375	76.7%

Value	Count	Frequency (%)
1	54	1.7%
2	58	1.9%
3	55	1.8%
4	57	1.8%
5	62	2.0%
6	64	2.1%
7	62	2.0%
8	55	1.8%
9	67	2.2%
10	69	2.2%

Value	Count	Frequency (%)
59	16	0.5%
58	12	0.4%
57	14	0.5%
56	18	0.6%
55	11	0.4%
54	14	0.5%
53	17	0.5%
52	18	0.6%
51	20	0.6%
50	15	0.5%

N6
Real number (ℝ)

Distinct	59
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.049758

Minimum	1
Maximum	59
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.3 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	14
median	27
Q3	40
95-th percentile	51
Maximum	59
Range	58
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	15.389957
Coefficient of variation (CV)	0.56894992
Kurtosis	-1.0864332
Mean	27.049758
Median Absolute Deviation (MAD)	13
Skewness	0.047561443
Sum	83719
Variance	236.85079
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
33	77	2.5%
45	74	2.4%
40	73	2.4%
25	70	2.3%
38	70	2.3%
42	69	2.2%
7	68	2.2%
15	67	2.2%
30	67	2.2%
44	66	2.1%
Other values (49)	2394	77.4%

Value	Count	Frequency (%)
1	55	1.8%
2	53	1.7%
3	60	1.9%
4	64	2.1%
5	54	1.7%
6	58	1.9%
7	68	2.2%
8	59	1.9%
9	62	2.0%
10	60	1.9%

Value	Count	Frequency (%)
59	17	0.5%
58	21	0.7%
57	20	0.6%
56	13	0.4%
55	14	0.5%
54	22	0.7%
53	18	0.6%
52	23	0.7%
51	18	0.6%
50	21	0.7%

BN
Real number (ℝ)

Distinct	59
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.559935

Minimum	1
Maximum	59
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.3 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	14
median	26
Q3	39
95-th percentile	50
Maximum	59
Range	58
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	15.296516
Coefficient of variation (CV)	0.57592444
Kurtosis	-1.0601319
Mean	26.559935
Median Absolute Deviation (MAD)	13
Skewness	0.095617433
Sum	82203
Variance	233.9834
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	81	2.6%
38	80	2.6%
6	74	2.4%
37	72	2.3%
8	72	2.3%
20	71	2.3%
28	71	2.3%
31	71	2.3%
21	70	2.3%
14	70	2.3%
Other values (49)	2363	76.3%

Value	Count	Frequency (%)
1	58	1.9%
2	52	1.7%
3	56	1.8%
4	67	2.2%
5	63	2.0%
6	74	2.4%
7	47	1.5%
8	72	2.3%
9	62	2.0%
10	47	1.5%

Value	Count	Frequency (%)
59	17	0.5%
58	18	0.6%
57	16	0.5%
56	17	0.5%
55	17	0.5%
54	22	0.7%
53	18	0.6%
52	15	0.5%
51	14	0.5%
50	23	0.7%

Jackpot
Real number (ℝ)

High correlation

Distinct	2836
Distinct (%)	91.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5123329.1

Minimum	122510
Maximum	52964701
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.3 KiB

Quantile statistics

Minimum	122510
5-th percentile	804529.6
Q1	2006853
median	3800000
Q3	6865875
95-th percentile	14447339
Maximum	52964701
Range	52842191
Interquartile range (IQR)	4859022

Descriptive statistics

Standard deviation	4780888.9
Coefficient of variation (CV)	0.93316061
Kurtosis	12.087396
Mean	5123329.1
Median Absolute Deviation (MAD)	1824471
Skewness	2.673362
Sum	1.5856703 × 10¹⁰
Variance	2.2856898 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2000000	119	3.8%
3800000	61	2.0%
15000000	23	0.7%
20000000	17	0.5%
5000000	13	0.4%
2500000	8	0.3%
10000000	6	0.2%
7500000	6	0.2%
1666667	5	0.2%
3333334	4	0.1%
Other values (2826)	2833	91.5%

Value	Count	Frequency (%)
122510	1	< 0.1%
145859	1	< 0.1%
152431	1	< 0.1%
202501	1	< 0.1%
216650	1	< 0.1%
225732	1	< 0.1%
229264	1	< 0.1%
235588	1	< 0.1%
252078	1	< 0.1%
264490	1	< 0.1%

Value	Count	Frequency (%)
52964701	1	< 0.1%
47405023	1	< 0.1%
42659372	1	< 0.1%
39529852	1	< 0.1%
35410343	1	< 0.1%
35133888	1	< 0.1%
33282708	1	< 0.1%
33035323	1	< 0.1%
32690115	1	< 0.1%
32534188	1	< 0.1%

Wins
Real number (ℝ)

High correlation Skewed Zeros

Distinct	24
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.5835218

Minimum	0
Maximum	133
Zeros	1335
Zeros (%)	43.1%
Negative	0
Negative (%)	0.0%
Memory size	24.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	5
Maximum	133
Range	133
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.4905061
Coefficient of variation (CV)	2.2042678
Kurtosis	680.74361
Mean	1.5835218
Median Absolute Deviation (MAD)	1
Skewness	20.059779
Sum	4901
Variance	12.183633
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0	1335	43.1%
1	688	22.2%
2	428	13.8%
3	231	7.5%
4	160	5.2%
5	99	3.2%
6	41	1.3%
8	35	1.1%
7	30	1.0%
9	10	0.3%
Other values (14)	38	1.2%

Value	Count	Frequency (%)
0	1335	43.1%
1	688	22.2%
2	428	13.8%
3	231	7.5%
4	160	5.2%
5	99	3.2%
6	41	1.3%
7	30	1.0%
8	35	1.1%
9	10	0.3%

Value	Count	Frequency (%)
133	1	< 0.1%
57	1	< 0.1%
46	1	< 0.1%
32	1	< 0.1%
20	2	0.1%
19	1	< 0.1%
18	1	< 0.1%
16	2	0.1%
15	3	0.1%
14	2	0.1%

Machine
Categorical

Distinct	14
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	208.7 KiB

Arthur	637
Guinevere	617
Lancelot	581
Merlin	514
Amethyst	172
Other values (9)	574

Length

Max length	12
Median length	12
Mean length	12
Min length	12

Characters and Unicode

Total characters	37140
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Lancelot
2nd row	Lotto 2
3rd row	Lotto 2
4th row	Lotto 2
5th row	Lotto 2

Common Values

Value	Count	Frequency (%)
Arthur	637	20.6%
Guinevere	617	19.9%
Lancelot	581	18.8%
Merlin	514	16.6%
Amethyst	172	5.6%
Topaz	157	5.1%
Sapphire	135	4.4%
Moonstone	66	2.1%
Opal	56	1.8%
Galahad	52	1.7%
Other values (4)	108	3.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
arthur	637	20.5%
guinevere	617	19.9%
lancelot	581	18.7%
merlin	514	16.5%
amethyst	172	5.5%
topaz	157	5.1%
sapphire	135	4.3%
moonstone	66	2.1%
opal	56	1.8%
galahad	52	1.7%
Other values (5)	120	3.9%

Most occurring characters

Value	Count	Frequency (%)
	14994	40.4%
e	3367	9.1%
r	2588	7.0%
n	1908	5.1%
t	1668	4.5%
i	1266	3.4%
u	1254	3.4%
l	1235	3.3%
a	1181	3.2%
h	996	2.7%
Other values (19)	6683	18.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	37140	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	14994	40.4%
e	3367	9.1%
r	2588	7.0%
n	1908	5.1%
t	1668	4.5%
i	1266	3.4%
u	1254	3.4%
l	1235	3.3%
a	1181	3.2%
h	996	2.7%
Other values (19)	6683	18.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	37140	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	14994	40.4%
e	3367	9.1%
r	2588	7.0%
n	1908	5.1%
t	1668	4.5%
i	1266	3.4%
u	1254	3.4%
l	1235	3.3%
a	1181	3.2%
h	996	2.7%
Other values (19)	6683	18.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	37140	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	14994	40.4%
e	3367	9.1%
r	2588	7.0%
n	1908	5.1%
t	1668	4.5%
i	1266	3.4%
u	1254	3.4%
l	1235	3.3%
a	1181	3.2%
h	996	2.7%
Other values (19)	6683	18.0%

Set
Categorical

Distinct	20
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	184.5 KiB

4	372
3	368
6	361
7	358
2	358
Other values (15)	1278

Length

Max length	4
Median length	4
Mean length	3.9954766
Min length	3

Characters and Unicode

Total characters	12366
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	3
2nd row	2
3rd row	2
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
4	372	12.0%
3	368	11.9%
6	361	11.7%
7	358	11.6%
2	358	11.6%
1	350	11.3%
5	348	11.2%
8	311	10.0%
11	79	2.6%
10	68	2.2%
Other values (10)	122	3.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
4	372	12.0%
3	368	11.9%
6	364	11.8%
7	362	11.7%
2	358	11.6%
1	351	11.3%
5	350	11.3%
8	315	10.2%
11	79	2.6%
10	68	2.2%
Other values (5)	108	3.5%

Most occurring characters

Value	Count	Frequency (%)
	9086	73.5%
1	615	5.0%
4	392	3.2%
2	376	3.0%
3	368	3.0%
6	364	2.9%
7	362	2.9%
5	350	2.8%
8	315	2.5%
0	68	0.5%
Other values (3)	70	0.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12366	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	9086	73.5%
1	615	5.0%
4	392	3.2%
2	376	3.0%
3	368	3.0%
6	364	2.9%
7	362	2.9%
5	350	2.8%
8	315	2.5%
0	68	0.5%
Other values (3)	70	0.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12366	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	9086	73.5%
1	615	5.0%
4	392	3.2%
2	376	3.0%
3	368	3.0%
6	364	2.9%
7	362	2.9%
5	350	2.8%
8	315	2.5%
0	68	0.5%
Other values (3)	70	0.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12366	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	9086	73.5%
1	615	5.0%
4	392	3.2%
2	376	3.0%
3	368	3.0%
6	364	2.9%
7	362	2.9%
5	350	2.8%
8	315	2.5%
0	68	0.5%
Other values (3)	70	0.6%

	Day	BN	DD	Jackpot	MMM	Machine	N1	N2	N3	N4	N5	N6	No.	Set	Wins	YYYY
Day	1.000	0.000	0.007	0.074	0.001	0.102	0.000	0.000	0.000	0.016	0.004	0.008	0.048	0.000	0.000	0.065
BN	0.000	1.000	0.017	0.045	0.025	0.050	-0.016	0.002	0.015	-0.028	-0.017	-0.007	0.111	0.033	-0.068	0.111
DD	0.007	0.017	1.000	-0.024	0.000	0.000	0.015	0.009	0.042	0.005	-0.003	0.021	-0.000	0.000	0.016	-0.003
Jackpot	0.074	0.045	-0.024	1.000	0.031	0.044	0.130	0.140	0.108	0.138	0.073	0.161	0.320	0.000	-0.591	0.319
MMM	0.001	0.025	0.000	0.031	1.000	0.063	0.000	0.016	0.027	0.034	0.000	0.010	0.000	0.020	0.000	0.000
Machine	0.102	0.050	0.000	0.044	0.063	1.000	0.030	0.039	0.043	0.039	0.021	0.050	0.368	0.073	0.033	0.433
N1	0.000	-0.016	0.015	0.130	0.000	0.030	1.000	-0.022	0.009	0.020	-0.016	0.000	0.099	0.040	-0.126	0.101
N2	0.000	0.002	0.009	0.140	0.016	0.039	-0.022	1.000	0.010	0.012	-0.032	0.004	0.126	0.027	-0.175	0.126
N3	0.000	0.015	0.042	0.108	0.027	0.043	0.009	0.010	1.000	0.007	0.014	-0.014	0.109	0.035	-0.138	0.109
N4	0.016	-0.028	0.005	0.138	0.034	0.039	0.020	0.012	0.007	1.000	0.014	0.009	0.129	0.037	-0.157	0.128
N5	0.004	-0.017	-0.003	0.073	0.000	0.021	-0.016	-0.032	0.014	0.014	1.000	-0.002	0.074	0.031	-0.109	0.074
N6	0.008	-0.007	0.021	0.161	0.010	0.050	0.000	0.004	-0.014	0.009	-0.002	1.000	0.107	0.000	-0.160	0.107
No.	0.048	0.111	-0.000	0.320	0.000	0.368	0.099	0.126	0.109	0.129	0.074	0.107	1.000	0.183	-0.584	0.999
Set	0.000	0.033	0.000	0.000	0.020	0.073	0.040	0.027	0.035	0.037	0.031	0.000	0.183	1.000	0.000	0.196
Wins	0.000	-0.068	0.016	-0.591	0.000	0.033	-0.126	-0.175	-0.138	-0.157	-0.109	-0.160	-0.584	0.000	1.000	-0.583
YYYY	0.065	0.111	-0.003	0.319	0.000	0.433	0.101	0.126	0.109	0.128	0.074	0.107	0.999	0.196	-0.583	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	No.	Day	DD	MMM	YYYY	N1	N2	N3	N4	N5	N6	BN	Jackpot	Wins	Machine	Set
0	3095	Wed	20	Aug	2025	1	9	10	32	44	55	49	5208913	0	Lancelot	3
1	3094	Sat	16	Aug	2025	1	11	15	19	45	48	37	3899678	0	Lotto 2	2
2	3093	Wed	13	Aug	2025	1	16	27	41	50	55	54	2000000	0	Lotto 2	2
3	3092	Sat	9	Aug	2025	2	27	29	38	44	51	23	7394521	1	Lotto 2	3
4	3091	Wed	6	Aug	2025	5	9	17	31	47	58	35	5302085	0	Lotto 2	3
5	3090	Sat	2	Aug	2025	33	1	5	10	30	50	56	4007837	0	Lotto 2	4
6	3089	Wed	30	Jul	2025	37	3	21	5	18	7	38	2000000	0	Lotto 2	4
7	3088	Sat	26	Jul	2025	28	42	24	57	23	9	18	11438016	0	Lotto 2	1
8	3087	Wed	23	Jul	2025	48	3	11	21	16	9	22	8735166	0	Lotto 2	1
9	3086	Sat	19	Jul	2025	25	46	5	7	29	40	15	7298768	0	Lotto 2	2

	No.	Day	DD	MMM	YYYY	N1	N2	N3	N4	N5	N6	BN	Jackpot	Wins	Machine	Set
3085	10	Sat	21	Jan	1995	47	6	16	31	30	20	4	1373571	7	Guinevere	4
3086	9	Sat	14	Jan	1995	23	38	17	7	32	42	48	122510	133	Guinevere	1
3087	8	Sat	7	Jan	1995	21	32	2	5	25	22	46	10000000	0	Arthur	B
3088	7	Sat	31	Dec	1994	17	44	36	32	9	42	16	6554085	1	Arthur	B
3089	6	Sat	24	Dec	1994	27	29	39	3	44	2	6	7789557	1	Arthur	B
3090	5	Sat	17	Dec	1994	13	3	38	5	14	9	30	3403310	2	Arthur	A
3091	4	Sat	10	Dec	1994	26	47	49	43	35	38	28	17880003	1	Guinevere	B
3092	3	Sat	3	Dec	1994	21	11	17	30	29	40	31	6906572	0	Arthur	B
3093	2	Sat	26	Nov	1994	16	6	44	31	12	15	37	1760966	4	Arthur	B
3094	1	Sat	19	Nov	1994	30	3	5	44	14	22	10	839254	7	Guinevere	A

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample